Triple

T15563116
Position Surface form Disambiguated ID Type / Status
Subject Gastón Gaudio E371046 entity
Predicate fullName P16 FINISHED
Object Gastón Norberto Gaudio E371046 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gastón Norberto Gaudio | Statement: [Gastón Gaudio, fullName, Gastón Norberto Gaudio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gastón Norberto Gaudio
Context triple: [Gastón Gaudio, fullName, Gastón Norberto Gaudio]
  • A. Gastón Gaudio chosen
    Gastón Gaudio is a retired Argentine professional tennis player best known for winning the 2004 French Open singles title.
  • B. Néstor Grindetti
    Néstor Grindetti is an Argentine politician and sports executive who has served as president of the football club Club Atlético Independiente.
  • C. Raúl Godoy
    Raúl Godoy is a notable individual recognized for achievements that have made the surname Godoy prominent in public records or historical references.
  • D. Martín Carrera
    Martín Carrera is a Mexico City Metro station that serves as a key terminal and transfer point in the network.
  • E. Juan Carlos Pugliese
    Juan Carlos Pugliese was an Argentine politician who served as Minister of Economy during the presidency of Raúl Alfonsín in the 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb593258081909dcaf2b37fd28e63 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:09 a.m.